2,026 real data entry jobs in India.

... experience to build and optimize scalable ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. The role involves working across scrum teams to develop data solutions, ensure data governance with Unity Catalog, and support real-time and batch processing. Strong problem-solving skills, T-SQL expertise, and hands-on ...

... cleansing, reusable query logic, automation of data pipelines.- SQL & Query Optimization : Advanced joins, indexing, stored procedures, query tuning for large datasets.- Microsoft Fabric : Exposure to Fabric ecosystem for scalable data engineering and analytics.- Data Modeling & ETL : Star schema, fact/dimension modeling, ...

... experience in Data Engineering. Data Engineer We are looking for a DevOps Engineer to join our team. The ideal candidate brings 4+ years of hands-on experience in Data Engineering. 4+ years of hands-on experience in Data Engineering. Strong SQL and database concepts. Proficiency in Python. Experience with ETL/ELT tools and data ...

... (Exposure preferred). Design and implement data pipelines using ETL/ELT tools and techniques. Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes. Develop and implement data quality checks and monitoring processes. Automate data platform deployments and operations using ...

... candidates via LinkedIn, all applications must be submitted through our official website ( https://jobeax.com/link/1iJyEIRqk07JrVCp build systems that run on data, and that data has to be ingested, transformed, and validated before anything downstream can trust it. As a Data Engineer, you build the ingestion and transformation ...

... stakeholders to translate complex data requirements into high-performance, scalable Snowflake environments. Your contributions will directly influence the efficiency of data delivery, ensuring that our clients have reliable, real-time access to critical business insights that drive their strategic https://jobeax.com/link/YWeFbQYOXsffj75Z ...

Responsibilities of the Intern: - Perform basic exploratory data analysis (EDA) to identify patterns and insights - Create simple visualizations, charts, and dashboards to present findings - Support the team in preparing data-driven reports and presentations - Work with team members to understand project goals and contribute ...

... excellence, and delivering complex enterprise solutions Conduent is seeking a Senior AI Solutions Engineer / Technical Lead with strong cloud, application development, data, analytics, and Generative AI expertise to join our Analytics & Data Science https://jobeax.com/link/0c14UeRcOwA5jiTP role serves as the senior developer for ...

... Vertex AI for training, tuning, and scaling models. Data & Experimentation - - Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation. - Design and run experiments (A/B testing, uplift modeling, etc.) Work with large-scale datasets, ensuring data quality ...

... around the world. Job Summary: Electrical Engineer with experience on FEED, proposal & detailed engineering preferably in an EPC industry for Manufacturing units, Data centers and Buildings/utility projects. Candidate should have exposure to Indian, US, Euro and other foreign codes/standards and local practices. Major Responsibilities: ...

We are looking for an experienced Data Scientist to join our analytics team in Bangalore. The ideal candidate will have a strong background in statistical analysis, machine learning, data visualization, and big data technologies. You will work closely with business stakeholders and engineering teams to design data-driven ...

... Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions. Troubleshoot and resolve issues related to data pipelines and applications. Contribute to documentation of data pipelines and system architecture. Stay up-to-date with the latest Big Data technologies and trends. ...

As a Principal Data Engineer, you will be at the forefront of Oracle's data initiatives, playing a pivotal role in transforming raw data into actionable insights. Collaborating with data scientists and business stakeholders, you will design scalable data pipelines, optimize data infrastructure, and ensure the availability ...

... solution designs and ensure data science insights translate into robust, production-ready systems. - The Alexa Smart Home Decision Sciences team provides the data and analytical foundation that powers insights across our rapidly growing smart home ecosystem. We work with data from millions of connected devices, customer ...

... a Senior Data Engineer to operate & design, manage & maintain, and optimize our data platform. In this role, you will bridge the gap between traditional big data engineering and modern Generative AI infrastructure. You will be responsible for building robust data pipelines on Databricks, engineering high-quality datasets ...

Key Responsibilities : Data Engineering & BI Modernization : - Design and build ETL/ELT pipelines to migrate legacy BI systems (SSRS, Cognos, legacy SSAS/OLAP cubes) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, or similar).- Re-architect and optimize data models (star/snowflake schemas, ...

Key Responsibilities : Data Engineering & BI Modernization : - Design and build ETL/ELT pipelines to migrate legacy BI systems (SSRS, Cognos, legacy SSAS/OLAP cubes) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, or similar).- Re-architect and optimize data models (star/snowflake schemas, ...

... sophisticated data analysis and data engineering skills, including using SQL, experience git version control. - Demonstrated structured wrangling and mining skills from data, and problem-solving skills using machine learning, including in real-time hackathon-like settings. - Excellent communication and storytelling skills with an ...

... unstructured data. Build and manage modern cloud-based data platforms, data lakes, and data warehouses. Ensure data quality, integrity, governance, and security across data ecosystems. Collaborate with cross-functional teams to understand business requirements and translate them into technical data solutions. Optimize data workflows ...

... Dimensions (SCD), Entity and Grain Definition, KPI and Metric Design, Semantic Layer Development, Data Transformation and Aggregation, Structured and Semi-Structured Data, JSON / Nested Data, NoSQL concepts, Snowflake and/or Databricks, Practical Python, Data Quality, Reconciliation, and Validation, Analytical Data Warehousing ...